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Support Vector Machines

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**Support Vector Machines**

What is Support Vector Machines?

Support Vector Machines (SVMs) are a type of supervised machine learning algorithm used for classification and regression analysis. They work by finding an optimal hyperplane that maximizes the margin between different classes of data points. SVMs are commonly used in image recognition, text classification, and bioinformatics.

Find 384 organizations using Support Vector Machines on Sumble →

What other technologies are related to Support Vector Machines?

Support Vector Machines Competitor Technologies

Random Forests
Random Forests are an ensemble learning method for classification and regression that operates by constructing a multitude of decision trees. They are a direct alternative to SVMs for classification and regression tasks.
decision trees
Decision trees are a non-parametric supervised learning method used for classification and regression. They can be used as an alternative to SVMs for these types of problems.
Linear & Logistic Regression
Linear and Logistic Regression are linear models used for regression and classification respectively. While simpler, they can compete with SVMs in some scenarios, particularly when the relationship between features and target is approximately linear.
neighbors algorithms
No summary available
Neighbor-based algorithms (k-NN) are used for classification and regression. These algorithms can be used for some of the same classification/regression tasks as SVMs.
forest models
No summary available
Forest models, such as Random Forests and Extra Trees, are a group of decision tree-based methods. Similar to individual decision trees, they compete directly with SVMs for classification and regression.
discriminant analysis
No summary available
Discriminant analysis, including Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA), is a classification technique. It can be used as an alternative to SVMs for classification.
Neural Nets
Neural networks are a powerful machine learning model used for classification, regression, and other tasks. Deep neural networks can be direct alternatives to SVMs.
neural networks
Neural networks are a powerful machine learning model used for classification, regression, and other tasks. Deep neural networks can be direct alternatives to SVMs.
Number of organizations that mention technology
384
Support Vector Machines
673
Random Forests
1,136
decision trees
137
Linear & Logistic Regression
4
neighbors algorithms
5
forest models
21
discriminant analysis
167
Neural Nets
2,931
neural networks
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Support Vector Machines Complementary Technologies

Principal Component Analysis
Principal Component Analysis (PCA) is a dimensionality reduction technique that can be used to preprocess data before applying SVMs. It can help reduce noise and improve SVM performance.
factor analysis
Factor analysis is a dimensionality reduction technique that can be used to preprocess data before applying SVMs to reduce the number of features and improve performance.
Number of organizations that mention technology
384
Support Vector Machines
160
Principal Component Analysis
179
factor analysis
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Which job functions commonly mention Support Vector Machines?

Data Scientist
0.3% of all Data Scientist jobs mention Support Vector Machines
View 743 jobs on Sumble
Pricing Analyst
0.2% of all Pricing Analyst jobs mention Support Vector Machines
View 31 jobs on Sumble
Machine Learning
0.1% of all Machine Learning jobs mention Support Vector Machines
View 87 jobs on Sumble
AI Engineer
0.1% of all AI Engineer jobs mention Support Vector Machines
View 47 jobs on Sumble
Data, Analytics & Machine Learning
0.1% of all Data, Analytics & Machine Learning jobs mention Support Vector Machines
View 953 jobs on Sumble
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Which organizations are mentioning Support Vector Machines?

Support Vector Machines
Visa
Finance and Insurance 
25 team
mention Support Vector Machines
↗
 1 person
use Support Vector Machines
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Support Vector Machines
Deloitte
Professional Services 
8 team
mention Support Vector Machines
↗
 1 person
use Support Vector Machines
↗
Support Vector Machines
Merck
Health Care and Social Assistance 
6 team
mention Support Vector Machines
↗
 1 person
use Support Vector Machines
↗
Support Vector Machines
Novo Nordisk, Inc.
Manufacturing 
5 team
mention Support Vector Machines
↗
 1 person
use Support Vector Machines
↗
Support Vector Machines
Amazon
Retail Trade 
5 team
mention Support Vector Machines
↗
 3 people
use Support Vector Machines
↗
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